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Volumn , Issue , 2007, Pages 231-236

Feature selection for nonlinear kernel support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS VARIABLES; DATA FITS; DATA SETS; DIAGONAL MATRICES; FEATURE SELECTION; INPUT SPACES; INTEGER VARIABLES; INTERNATIONAL CONFERENCES; LOCAL SOLUTION; NONLINEAR KERNELS; OBJECTIVE FUNCTION VALUES; SINGLE PARAMETER; SUPPORT-VECTOR MACHINE; SYNTHETIC DATA SETS;

EID: 49549102637     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2007.30     Document Type: Conference Paper
Times cited : (38)

References (20)
  • 1
    • 0002709342 scopus 로고    scopus 로고
    • Feature selection via concave minimization and support vector machines
    • J. Shavlik, editor, San Francisco, California, Morgan Kaufmann
    • P. S. Bradley and O. L. Mangasarian. Feature selection via concave minimization and support vector machines. In J. Shavlik, editor, Proceedings 15th International Conference on Machine Learning, pages 82-90, San Francisco, California, 1998. Morgan Kaufmann. ftp://ftp.cs.wisc.edu/math-prog/ tech-reports/98-03.ps.
    • (1998) Proceedings 15th International Conference on Machine Learning , pp. 82-90
    • Bradley, P.S.1    Mangasarian, O.L.2
  • 2
    • 34250791107 scopus 로고    scopus 로고
    • Optimization methods in massive datasets
    • J. Abello, P. M. Pardalos, and M. G. C. Resende, editors, Dordrecht, Netherlands, Kluwer Academic Publishers
    • P. S. Bradley, O. L. Mangasarian, and D. R. Musicant. Optimization methods in massive datasets. In J. Abello, P. M. Pardalos, and M. G. C. Resende, editors, Handbook of Massive Datasets, pages 439-472, Dordrecht, Netherlands, 2002. Kluwer Academic Publishers. ftp://ftp.cs.wisc.edu/pub/dmi/ tech-reports/99-01.ps.
    • (2002) Handbook of Massive Datasets , pp. 439-472
    • Bradley, P.S.1    Mangasarian, O.L.2    Musicant, D.R.3
  • 5
    • 10844295776 scopus 로고    scopus 로고
    • Feature subset selection for support vector machines by incremental regularized risk minimization
    • H. Fröhlich and A. Zell. Feature subset selection for support vector machines by incremental regularized risk minimization. In International Joint Conference on Neural Networks (IJCNN), volume 3, pages 2041-2046, 2004.
    • (2004) International Joint Conference on Neural Networks (IJCNN) , vol.3 , pp. 2041-2046
    • Fröhlich, H.1    Zell, A.2
  • 6
    • 3543109140 scopus 로고    scopus 로고
    • A feature selection Newton method for support vector machine classification
    • July
    • G. Fung and O. L. Mangasarian. A feature selection Newton method for support vector machine classification. Computational Optimization and Applications, 28(2):185-202, July 2004. ftp://ftp.cs.wisc.edu/pub/dmi/tech- reports/02-03.ps.
    • (2004) Computational Optimization and Applications , vol.28 , Issue.2 , pp. 185-202
    • Fung, G.1    Mangasarian, O.L.2
  • 7
    • 27744569713 scopus 로고    scopus 로고
    • Bayesian approach to feature selection and parameter tuning for support vector machine classifiers
    • C. Gold, A. Holub, and P. Sollich. Bayesian approach to feature selection and parameter tuning for support vector machine classifiers. Neural Networks, 18(5-6):693-701, 2005.
    • (2005) Neural Networks , vol.18 , Issue.5-6 , pp. 693-701
    • Gold, C.1    Holub, A.2    Sollich, P.3
  • 8
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • I. Guyon, J. Weston, S. Barnhill, and V. Vapnik. Gene selection for cancer classification using support vector machines. Machine Learning, 46(1-3):389-422, 2002.
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 9
    • 11844277921 scopus 로고    scopus 로고
    • ILOG, Incline Village, Nevada. ILOG CPLEX 9.0 User's Manual, 2003. http://www.ilog.com/products/cplex/.
    • (2003) ILOG CPLEX 9.0 User's Manual
  • 10
    • 0025554389 scopus 로고
    • Experience with the condor distributed batch system
    • Hunstville, AL, October, IEEE Compter Society Press
    • M. Litzkow and M. Livny. Experience with the condor distributed batch system. In Proceedings IEEE Workshop on Experimental Distributed Systems, pages 97-101, Hunstville, AL, October 1990. IEEE Compter Society Press.
    • (1990) Proceedings IEEE Workshop on Experimental Distributed Systems , pp. 97-101
    • Litzkow, M.1    Livny, M.2
  • 11
    • 0001777975 scopus 로고    scopus 로고
    • Generalized support vector machines
    • A. Smola, P. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Cambridge, MA, MIT Press
    • O. L. Mangasarian. Generalized support vector machines. In A. Smola, P. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, pages 135-146, Cambridge, MA, 2000. MIT Press. ftp://ftp.cs.wisc.edu/math-prog/tech-reports/98-14.ps.
    • (2000) Advances in Large Margin Classifiers , pp. 135-146
    • Mangasarian, O.L.1
  • 12
    • 0003977889 scopus 로고
    • MATLAB, The MathWorks, Inc, Natick, MA 01760
    • MATLAB. User's Guide. The MathWorks, Inc., Natick, MA 01760, 1994-2006. http://www.mathworks.com.
    • (1994) User's Guide
  • 14
    • 0141990695 scopus 로고    scopus 로고
    • Theoretical and empirical analysis of ReliefF and RReliefF
    • M. Robnik-Šikonja and I. Kononenko. Theoretical and empirical analysis of ReliefF and RReliefF. Machine Learning, 53(1-2):23-69, 2003.
    • (2003) Machine Learning , vol.53 , Issue.1-2 , pp. 23-69
    • Robnik-Šikonja, M.1    Kononenko, I.2
  • 16
    • 33750999683 scopus 로고    scopus 로고
    • Fast gaussian process regression using kd-trees
    • Y. Shen, A. Y. Ng, and M. Seeger. Fast gaussian process regression using kd-trees. In NIPS 18, 2006. http://ai.stanford.edu/∼ang/papers/ nips05-fastgaussianprocess.pdf.
    • (2006) NIPS 18
    • Shen, Y.1    Ng, A.Y.2    Seeger, M.3
  • 20
    • 33746149382 scopus 로고    scopus 로고
    • Variable selection for support vector machines via smoothing spline ANOVA
    • H. H. Zhang. Variable selection for support vector machines via smoothing spline ANOVA. Statistica Sinica, 16(2):659-674, 2006.
    • (2006) Statistica Sinica , vol.16 , Issue.2 , pp. 659-674
    • Zhang, H.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.